Data-Driven Usability Refactoring: Tools and Challenges
- Autores
- Garrido, Alejandra; Firmenich, Sergio; Grigera, Julián; Rossi, Gustavo Héctor
- Año de publicación
- 2017
- Idioma
- inglés
- Tipo de recurso
- documento de conferencia
- Estado
- versión publicada
- Descripción
- Usability has long been recognized as an important software quality attribute and it has become essential in web application development and maintenance. However, it is still hard to integrate usability evaluation and improvement practices in the software development process. Moreover, these practices are usually unaffordable for small to medium-sized companies. In this position paper we propose an approach and tools to allow the crowd of web users participate in the process of usability evaluation and repair. Since we use the refactoring technique for usability improvement, we introduce the notion of “data-driven refactoring”: use data from the mass of users to learn about refactoring opportunities, plus also about refactoring effectiveness. This creates an improvement cycle where some refactorings may be discarded while others introduced, depending on their evaluated success. The paper also discusses some of the challenges that we foresee ahead.
- Materia
-
Ciencias de la Computación
Usability
A/B testing
Accessibility
Crowdsourcing
Refactoring - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-nd/4.0/
- Repositorio
- Institución
- Comisión de Investigaciones Científicas de la Provincia de Buenos Aires
- OAI Identificador
- oai:digital.cic.gba.gob.ar:11746/10933
Ver los metadatos del registro completo
id |
CICBA_a571278a10ada18d1f37217936c4b396 |
---|---|
oai_identifier_str |
oai:digital.cic.gba.gob.ar:11746/10933 |
network_acronym_str |
CICBA |
repository_id_str |
9441 |
network_name_str |
CIC Digital (CICBA) |
spelling |
Data-Driven Usability Refactoring: Tools and ChallengesGarrido, AlejandraFirmenich, SergioGrigera, JuliánRossi, Gustavo HéctorCiencias de la ComputaciónUsabilityA/B testingAccessibilityCrowdsourcingRefactoringUsability has long been recognized as an important software quality attribute and it has become essential in web application development and maintenance. However, it is still hard to integrate usability evaluation and improvement practices in the software development process. Moreover, these practices are usually unaffordable for small to medium-sized companies. In this position paper we propose an approach and tools to allow the crowd of web users participate in the process of usability evaluation and repair. Since we use the refactoring technique for usability improvement, we introduce the notion of “data-driven refactoring”: use data from the mass of users to learn about refactoring opportunities, plus also about refactoring effectiveness. This creates an improvement cycle where some refactorings may be discarded while others introduced, depending on their evaluated success. The paper also discusses some of the challenges that we foresee ahead.2017info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttps://digital.cic.gba.gob.ar/handle/11746/10933enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/reponame:CIC Digital (CICBA)instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Airesinstacron:CICBA2025-09-04T09:43:19Zoai:digital.cic.gba.gob.ar:11746/10933Institucionalhttp://digital.cic.gba.gob.arOrganismo científico-tecnológicoNo correspondehttp://digital.cic.gba.gob.ar/oai/snrdmarisa.degiusti@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:94412025-09-04 09:43:19.41CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Airesfalse |
dc.title.none.fl_str_mv |
Data-Driven Usability Refactoring: Tools and Challenges |
title |
Data-Driven Usability Refactoring: Tools and Challenges |
spellingShingle |
Data-Driven Usability Refactoring: Tools and Challenges Garrido, Alejandra Ciencias de la Computación Usability A/B testing Accessibility Crowdsourcing Refactoring |
title_short |
Data-Driven Usability Refactoring: Tools and Challenges |
title_full |
Data-Driven Usability Refactoring: Tools and Challenges |
title_fullStr |
Data-Driven Usability Refactoring: Tools and Challenges |
title_full_unstemmed |
Data-Driven Usability Refactoring: Tools and Challenges |
title_sort |
Data-Driven Usability Refactoring: Tools and Challenges |
dc.creator.none.fl_str_mv |
Garrido, Alejandra Firmenich, Sergio Grigera, Julián Rossi, Gustavo Héctor |
author |
Garrido, Alejandra |
author_facet |
Garrido, Alejandra Firmenich, Sergio Grigera, Julián Rossi, Gustavo Héctor |
author_role |
author |
author2 |
Firmenich, Sergio Grigera, Julián Rossi, Gustavo Héctor |
author2_role |
author author author |
dc.subject.none.fl_str_mv |
Ciencias de la Computación Usability A/B testing Accessibility Crowdsourcing Refactoring |
topic |
Ciencias de la Computación Usability A/B testing Accessibility Crowdsourcing Refactoring |
dc.description.none.fl_txt_mv |
Usability has long been recognized as an important software quality attribute and it has become essential in web application development and maintenance. However, it is still hard to integrate usability evaluation and improvement practices in the software development process. Moreover, these practices are usually unaffordable for small to medium-sized companies. In this position paper we propose an approach and tools to allow the crowd of web users participate in the process of usability evaluation and repair. Since we use the refactoring technique for usability improvement, we introduce the notion of “data-driven refactoring”: use data from the mass of users to learn about refactoring opportunities, plus also about refactoring effectiveness. This creates an improvement cycle where some refactorings may be discarded while others introduced, depending on their evaluated success. The paper also discusses some of the challenges that we foresee ahead. |
description |
Usability has long been recognized as an important software quality attribute and it has become essential in web application development and maintenance. However, it is still hard to integrate usability evaluation and improvement practices in the software development process. Moreover, these practices are usually unaffordable for small to medium-sized companies. In this position paper we propose an approach and tools to allow the crowd of web users participate in the process of usability evaluation and repair. Since we use the refactoring technique for usability improvement, we introduce the notion of “data-driven refactoring”: use data from the mass of users to learn about refactoring opportunities, plus also about refactoring effectiveness. This creates an improvement cycle where some refactorings may be discarded while others introduced, depending on their evaluated success. The paper also discusses some of the challenges that we foresee ahead. |
publishDate |
2017 |
dc.date.none.fl_str_mv |
2017 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/conferenceObject info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_5794 info:ar-repo/semantics/documentoDeConferencia |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
https://digital.cic.gba.gob.ar/handle/11746/10933 |
url |
https://digital.cic.gba.gob.ar/handle/11746/10933 |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-nd/4.0/ |
eu_rights_str_mv |
openAccess |
rights_invalid_str_mv |
http://creativecommons.org/licenses/by-nc-nd/4.0/ |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:CIC Digital (CICBA) instname:Comisión de Investigaciones Científicas de la Provincia de Buenos Aires instacron:CICBA |
reponame_str |
CIC Digital (CICBA) |
collection |
CIC Digital (CICBA) |
instname_str |
Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
instacron_str |
CICBA |
institution |
CICBA |
repository.name.fl_str_mv |
CIC Digital (CICBA) - Comisión de Investigaciones Científicas de la Provincia de Buenos Aires |
repository.mail.fl_str_mv |
marisa.degiusti@sedici.unlp.edu.ar |
_version_ |
1842340413154787328 |
score |
12.623145 |